Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG

dc.date.accessioned	2015-02-04T15:24:52Z
dc.date.available	2015-02-04T15:24:52Z
dc.date.created	2015-01-23T09:34:38Z
dc.date.issued	2014
dc.identifier.citation	Pettersen, Klas Linden, Henrik Tetzlaff, Tom Einevoll, Gaute . Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG. PloS Computational Biology. 2014, 10(11)
dc.identifier.uri	http://hdl.handle.net/10852/42027
dc.language	EN
dc.language.iso	en	en_US
dc.publisher	Public Library of Science (PLoS)
dc.rights	Attribution 4.0 International
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.title	Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG	en_US
dc.type	Journal article	en_US
dc.creator.author	Pettersen, Klas
dc.creator.author	Linden, Henrik
dc.creator.author	Tetzlaff, Tom
dc.creator.author	Einevoll, Gaute
cristin.unitcode	185,29,22,20
cristin.unitname	NCMM Erlend Nagelhus Group (Glia-vascular Imaging)
cristin.ispublished	true
cristin.fulltext	original
cristin.qualitycode	2
dc.identifier.cristin	1205385
dc.identifier.bibliographiccitation	info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=PloS Computational Biology&rft.volume=10&rft.spage=&rft.date=2014
dc.identifier.jtitle	PloS Computational Biology
dc.identifier.volume	10
dc.identifier.issue	11
dc.identifier.pagecount	26
dc.identifier.doi	http://dx.doi.org/10.1371/journal.pcbi.1003928
dc.identifier.urn	URN:NBN:no-46431
dc.type.document	Tidsskriftartikkel	en_US
dc.type.peerreviewed	Peer reviewed
dc.source.issn	1553-734X
dc.identifier.fulltext	Fulltext https://www.duo.uio.no/bitstream/handle/10852/42027/1/journal.pcbi.1003928.pdf
dc.type.version	PublishedVersion
cristin.articleid	e1003928